ABSTRACT

As the field of transportation moves toward the "total quality management" paradigm, performance-based outcomes and quantitative measures have become increasingly important. Measuring performance in the field depends heavily on modeling trends and data, which in turn requires powerful, and flexible analytical tools. To date, however, transportation

part |2 pages

Part II: Continuous Dependent Variable Models

chapter 3|58 pages

Linear Regression

chapter 4|22 pages

Violations of Regression Assumptions

chapter 5|12 pages

Simultaneous Equation Models

chapter 6|14 pages

Panel Data Analysis

chapter 7|24 pages

Time-Series Analysis

chapter 8|24 pages

Latent Variable Models

chapter 9|22 pages

Duration Models

part |2 pages

Part III: Count and Discrete Dependent Variable Models

chapter 10|16 pages

Count Data Models

chapter 11|40 pages

Discrete Outcome Models

chapter 12|12 pages

Discrete/Continuous Models